[mlpack-git] [mlpack/mlpack] Design parallelization framework (#173)

[Ivan Georgiev]

I completely agree, that OpenMP is the best way, (although Apple a reluctant to support it in their standard `clang` compiler). I've misunderstood the issue thinking it is either about bringing some other (new) framework, rather than OpenMP; or aiming at providing a universal way of parallelizing the algorithms themselves, which not really possible, being pretty method/algorithm specific process.

This misunderstanding is probably because due to the span of the time (≈2 years), since now I can see that `openmp` is utilized in the `master` branch of MLPack. Probably you can rename the issue, or bring up another one, or nothing. In any case - you can ignore my comment :-)

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